The implications of complexity for humanitarian logistics: a complex adaptive systems perspective.

Schiffling, Sarah; Hannibal, Claire; Tickle, Matthew; Fan, Yiyi

Abstract

In this study we argue that recognising humanitarian logistics (HL) as a complex system is a key step in developing supply chain design and management strategies that meet the needs of stakeholders. This study draws on complex adaptive systems theory to examine the characteristics and implications of complexity for HL. Through case-study research of humanitarian responses in Haiti and Pakistan, characteristics of complexity across organisational boundaries are identified. We find that the complexity of the context impacts the outcome of the humanitarian response and conclude that HL must not only react to its environment, it must also create its environment. As HL must work within significantly differing environments to create solutions, the standardised approaches used to manage supply chains are less desirable. While this paper focuses on HL, wider applicability to other complex logistics operations is also discussed, informing the design and management of contextually specific supply chains.

Citation

SCHIFFLING, S., HANNIBAL, C., TICKLE, M. and FAN, Y. 2022. The implications of complexity for humanitarian logistics: a complex adaptive systems perspective. Annals of operations research [online], 319(1): design and management of humanitarian supply chains, pages 1379-1410. Available from: https://doi.org/10.1007/s10479-020-03658-w

• Journal Article Type: Article
• Acceptance Date: May 15, 2020
• Online Publication Date: May 29, 2020
• Publication Date: Dec 31, 2022
• Deposit Date: Nov 20, 2023
• Publicly Available Date: Nov 28, 2023
• Journal: Annals of operations research
• Print ISSN: 0254-5330
• Electronic ISSN: 1572-9338
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Volume: 319
• Issue: 1
• Pages: 1379-1410
• DOI: https://doi.org/10.1007/s10479-020-03658-w
• Keywords: Humanitarian logistics; Complex adaptive system (CAS); Case study; Supply chain management
• Public URL: https://rgu-repository.worktribe.com/output/2015721